Machine Learning for Health Research

3 credits

Practice-based application of supervised and unsupervised machine learning methods to healthcare data. Application of principles of data science and applied statistical methods. Prerequisite: SPPH_V 500; experience with differential and integral calculus and an analytic programming language such as SAS or R, and permission of the instructor. This course is not eligible for Credit/D/Fail grading.